I am trying to run 3 operations in parallel using the CompletableFuture approach. Now these 3 operations return different types so need to retrieve the data sep
The program seems to exit without waiting for the file system to apply the inner changes when integrating with std::execution. I recently tried PPL, TBB, OpenMP
I need to read millions of records from a sqlserver table through a microservice that does block reads in parallel. each instantiated microservice performs the
I hope you are well, I have a problem with an opencl program, I execute the following program of the vector addition #define CL_USE_DEPRECATED_OPENCL_1_2APIS #i
I have access to a linux server with the following configuration: I have this one matrix with gamma distirbution range[0:12000] ,Col=30000 and Row=8000. In thi
I'm using the below code to get an array of elements from list that sum to value. However, it only using 1 CPU. My PC has 64 cores so I want to use 100% CPU to
I am trying to compute the number of triangles for each edge in an OpenMP parallel code. Following is the code snippet where I am doing it. While running with m
I have a script that need to call child scripts in parallel. Child scripts using az cli and create/modify Azure PaaS objects in different Azure subscriptions. T
I am currently developing an API that has several endpoints. One of them is to register data in a database, other endpoints are related to simple CRUD endpoints
I have a julia function that seems very amenable to optimization. Each iteration only manipulates the stuff in its particular index. Yet this function, when imp
I am working on writing a framework that basically does a data sanity check. I have a set of inputs like { "check_1": [ sql_query_1, sql_query_2 ], "check_2":
This is how I solved the following question, I want to be sure if my solution is correct? A multiprocessor consists of 100 processors, each capable of a peak ex
I have two tasks that take a fairly short time to compute (around half a second each). These two tasks (say A and B) are called repeatedly a large number of tim
Example code: import dask.bag as db from dask import delayed from dask.distributed import Client, LocalCluster N = 10**6 def load(): return delayed(range(N
I am using MCMCglmm to run a PGLMM model. Since the aim is not to make predictions, I'm using dredge (from MuMIn) to calculate model-weighted parameter values a
I have this code: #pragma acc kernels #pragma acc loop seq for(i=0; i<bands; i++) { mean=0; #pragma acc loop seq for(j=0; j<N; j++) m
I'm currently building server software in Java. I already have a running backend, which is build with Spring Boot. It has an REST interface to read and write da
I am starting to have a big project and I am currently using and including many of packages and .jl files: a = time() @info "Loading JuMP" using JuMP @info "Loa
tbb::parallel_for(0, 33, [&](int indexNum) { print(indexNum) }); hi, I expect the indexNum to be unique numbers and to print unique numbers. But in practic
I have a quick question with respect to the doParallel package in R. I have an optimize.R file where it contains roughly 18 functions A1, A2, A3, A4, ..., A18 w